- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
Reshape your AI practices to promote responsible innovation, understand regulations, and secure your organization's future with guidance from a seasoned ethics expert
Key Features
Discover how to solve AI business dilemmas with ethics
Work with real-world use cases, examples, and best practices to illustrate complex ethical scenarios
Future-proof your AI strategy with actionable risk mitigation techniques and regulatory compliance roadmaps
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionThe rapid rise of generative AI (GenAI) has led businesses to engage in discussions about ethical innovation, but these discussions often lack clear, practical guidance. AI Ethics in Action fills this gap with practical, actionable guidance from an award-winning ethicist and founder and CEO of NextGen Ethics.
The book begins by laying a foundation in philosophical ethics, before setting a framework for responsible AI innovation, offering strategies for measurable, ethical decision-making. The chapters provide practical advice on navigating the complex regulatory landscape that organizations, especially global ones, face. You'll get prepared for the inevitable disruptions AI will bring, with emphasis on the need for next-generation ethical considerations. You'll also discover best practices and practical advice through an in-depth examination of lessons learned across various industries. Additionally, the book critically examines the expectations placed on those who develop and deploy AI, addressing the challenges of overcoming the pursuit of perfection.
By the end of this book, you'll be able to apply ethical frameworks to AI systems, tackle complex challenges, and make responsible decisions that build trust, transparency, and positive societal impact.What you will learn
Understand what ethics is and learn how to apply it effectively to AI
Implement AI innovation with strategies that ensure ethical practices
Identify and address obstacles that hinder responsible innovation
Avoid common pitfalls that prevent the integration of ethical principles in innovation
Apply practical and actionable ethical guidance to your AI projects right away
Recognize and evaluate ethical use cases for AI and generative technologies
Who this book is forThis book is for anyone interested in AI, especially those in leadership or governance roles, such as chief AI officers, AI/ML engineers, data scientists, AI product managers, chief data officers, AI ethicists, and AI policy analysts. It's written to be accessible to all, but particularly valuable for those leading AI initiatives. Technologists, developers, and legal professionals can gain insights into ethical AI practices, even without prior knowledge. An open mind and willingness to explore ethics beyond regulation are all you need to get started.
Contents
Table of Contents
A Brief Primer on Ethics
Moving from Ethics to AI Ethics
Doing Ethics: Overcoming Objections
The Trustworthiness of AI
AI in the Wild: The Role of Deployers
AI like Me: Our Relationship with Technology
Utilizing the Frameworks
Adopting AI: A Structured Process
Complications of Owning AI
Navigating Future AI Developments
Next-Generation Ethics
Business Revolution by AI: Looking Forward
The Unavoidable Reality of Global AI Ethics
Global Responsibility in AI Development and Deployment
Best Practices for Global Cultural Perspectives
Conclusion
A Continuation of Now
The Good Enough Thesis
